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    ULTRASOUND IMAGING APPARATUS AND METHOD FOR SEGMENTING ANATOMICAL OBJECTS
    2.
    发明申请
    ULTRASOUND IMAGING APPARATUS AND METHOD FOR SEGMENTING ANATOMICAL OBJECTS 审中-公开

    公开(公告)号：US20170360396A1

    公开(公告)日：2017-12-21

    申请号：US15540297

    申请日：2016-01-04

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： JOCHEN PETERS ,  AMIR MOHAMMAD TAHMASEBI MARAGHOOSH ,  JUERGEN WEESE ,  CHRISTIAN BUERGER

    IPC: A61B8/14 ,  G06T7/12 ,  A61B8/08 ,  G06T7/149 ,  A61B8/00

    Abstract: An ultrasound imaging apparatus (10) for segmenting an anatomical object in a field of view (29) of an ultrasound acquisition unit (14) is disclosed. The ultrasound imaging apparatus comprises a data interface (32) configured to receive a two-dimensional ultrasound data (30) of the object in the field of view in an image plane from the ultrasound acquisition unit and to receive a three-dimensional segmentation model (46) as a three-dimensional representation of the object from a segmentation unit (36). An image processor (34) is configured to determine a two-dimensional segmentation model (50) on the basis of the three-dimensional segmentation model and a segmentation plane (48), wherein the segmentation plane and an image plane of the two-dimensional ultrasound data correspond to each other. The image processor is configured to adapt a contour of the two-dimensional segmentation model to the two-dimensional ultrasound data on the basis of pattern detection and where the image processor is configured to provide annotated two-dimensional image data (42) on the basis of the two-dimensional ultrasound data and the adapted segmentation model aligned to the two-dimensional ultrasound data.

    SYSTEM FOR MEASURING CORTICAL THICKNESS FROM MR SCAN INFORMATION
    3.
    发明申请
    SYSTEM FOR MEASURING CORTICAL THICKNESS FROM MR SCAN INFORMATION 审中-公开
    用于从扫描信息测量反射厚度的系统

    公开(公告)号：US20160306023A1

    公开(公告)日：2016-10-20

    申请号：US15038059

    申请日：2014-11-12

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： LYUBOMIR GEORGIEV ZAGORCHEV ,  CARSTEN MEYER ,  ASTRID RUTH FRANZ ,  THOMAS HEIKO STEHLE ,  JUERGEN WEESE ,  FABIAN WENZEL ,  MARCEL BREEUWER ,  VELJKO POPOV ,  SEBASTIAN FLACKE

    IPC: G01R33/56 ,  G01R33/48

    CPC classification number: G01R33/5608 ,  G01R33/4828

    Abstract: A measurement apparatus (800) to measure cortical thickness, the measurement apparatus may include at least one controller (810) which may be configured to: obtain magnetic resonance (MR) scan information of a region-of-interest of at least a portion of a cerebral cortex of a subject; form first, second and third meshes each comprising a plurality of points situated apart from each other, the first and third meshes being situated at inner and outer cortical boundary layers, respectively, of the cerebral cortex and the second mesh being situated between the first and third meshes; and/or for each of a plurality of points of the second mesh: determine a closest point of the first mesh and a closest point of the third mesh, determine a distance between the corresponding closest point of the first mesh and the corresponding closest point of the third mesh, said distance being corresponding with a cortical thickness.

    Abstract translation: 一种测量皮质厚度的测量装置（800），所述测量装置可以包括至少一个控制器（810），所述至少一个控制器（810）可以被配置为：获得至少一部分感兴趣区域的磁共振（MR）扫描信息 受试者的大脑皮层; 形成第一，第二和第三网格，每个网格包括彼此分开的多个点，所述第一和第三网格分别位于所述大脑皮层和所述第二网格的内皮层边缘层和所述第二网格之间，所述第二网格位于所述第一和第二网格之间， 第三个网格 和/或对于第二网格的多个点中的每一个确定第一网格的最近点和第三网格的最近点，确定第一网格的对应最近点与相应的最近点之间的距离 所述第三网格，所述距离对应于皮质厚度。

    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE
    6.
    发明申请
    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE 有权
    基于模型的分解结构分解

    公开(公告)号：US20160307331A1

    公开(公告)日：2016-10-20

    申请号：US15101018

    申请日：2014-12-15

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： SABINE MOLLUS ,  AXEL SAALBACH ,  JUERGEN WEESE

    IPC: G06T7/00

    CPC classification number: G06T7/149 ,  G06F19/321 ,  G06T7/344 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20124 ,  G06T2207/20132 ,  G06T2207/30048 ,  G06T2210/41 ,  G16H30/40

    Abstract: A system and method is provided which obtains different medical images (210) showing an anatomical structure of a patient and having been acquired by different medical imaging modalities and/or different medical imaging protocols. The system is configured for fitting a first deformable model to the anatomical structure in the first medical image (220A), fitting a second deformable model to the anatomical structure in the second medical image (220B), mutually aligning the first fitted model and the second fitted model (230), and subsequently fusing the first fitted model and the second fitted model to obtain a fused model (240) by augmenting the first fitted model with a part of the second fitted model which is missing in the first fitted model; or adjusting or replacing a part of the first fitted model based on a corresponding part of the second fitted model having obtained a better fit. The fused model represents a multimodal/multi-protocol segmentation of the anatomical structure, and provides a user with a more comprehensive understanding of the anatomical structure than known models.

    Abstract translation: 提供一种系统和方法，其获得示出患者的解剖结构并且已经通过不同的医学成像模式和/或不同的医学成像协议获取的不同的医学图像（210）。 该系统被配置为将第一可变形模型拟合到第一医学图像（220A）中的解剖结构，将第二可变形模型拟合到第二医学图像（220B）中的解剖结构，使第一拟合模型和第二医学图像 以及随后使所述第一拟合模型和所述第二拟合模型融合，以通过在所述第一拟合模型中缺少所述第二拟合模型的一部分来增加所述第一拟合模型来获得融合模型（240） 或者基于获得更好拟合的第二拟合模型的对应部分来调整或替换第一拟合模型的一部分。 融合模型表示解剖结构的多模式/多协议分割，并为用户提供对已知模型的解剖结构的更全面了解。

    INTERVENTIONAL MEDICAL REPORTING APPARATUS
    7.
    发明申请
    INTERVENTIONAL MEDICAL REPORTING APPARATUS 审中-公开

    公开(公告)号：US20190006032A1

    公开(公告)日：2019-01-03

    申请号：US15780431

    申请日：2016-12-20

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： ALEXANDRA GROTH ,  IVO MATHIEU JACOBUS CANJELS ,  VINCENT MAURICE ANDRE AUVRAY ,  JUERGEN WEESE ,  RAOUL FLORENT

    IPC: G16H15/00 ,  G16H10/60 ,  G16H30/20

    Abstract: Interventional medical procedures involve a complex sequence of actions, often involving many different medical professionals and items of equipment. These actions, and their notable attributes, should be recorded in detail, in case they are required during a consultation in the future. A typical medical interventional procedure could require hundreds, or even thousands, of actions to be recorded. This places demands on a medical practitioner during the intervention. Typically, important information is dictated into a report after an intervention. Attempting to produce the report by traditional means, such as by dictation, after the intervention is time-consuming. The proposed approach enables the formation of clinical reports based on structured interventional medical reporting data recorded during a medical intervention in an easier, and more accurate way. Interventional procedure status indications are used which may be derived from existing medical equipment, or information inputs.

    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE
    9.
    发明申请
    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE 有权

    公开(公告)号：US20170213338A1

    公开(公告)日：2017-07-27

    申请号：US15038834

    申请日：2014-11-26

    Applicant: KONINKLIJKE PHILIPS N.V.

    Inventor： ALEXANDRA GROTH ,  JOCHEN PETERS ,  JUERGEN WEESE ,  AXEL SAALBACH

    IPC: G06T7/00 ,  G06T7/12

    CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/30048

    Abstract: A system (100) is provided for performing a model-based segmentation of an anatomical structure in a medical image. The system comprises a processor (140) configured for performing a model-based segmentation of the anatomical structure by applying a deformable model to image data (042). Moreover, definition data (220) is provided which defines a geometric relation between a first part and a second part of the deformable model of which a corresponding first part of the anatomical structure is presumed to be better visible in the image data than a corresponding second part of the anatomical structure. The definition data is then used to adjust a fit of the second part of the deformable model. As a result, a better fit of the second part of the deformable model to the second part of the anatomical structure is obtained despite said part being relatively poorly visible in the image data.

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